Simulating Process-Product Interdependencies in Battery Production Systems

Matthias Thomitzek; Oke Schmidt; Fridolin Röder; Ulrike Krewer; Christoph Herrmann; Sebastian Thiede

doi:10.1016/j.procir.2018.03.056

Simulating Process-Product Interdependencies in Battery Production Systems

Matthias Thomitzek^*, Oke Schmidt, Fridolin Röder, Ulrike Krewer, Christoph Herrmann, Sebastian Thiede

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Academic › peer-review

55 Citations (Scopus)

335 Downloads (Pure)

Abstract

Battery production requires a highly complex manufacturing process chain consisting of different process steps. Both product and process parameters deviate throughout the whole process chain. Shape and scale of those distributions heavily affect subsequent process steps and final battery quality. Multi-level Simulation can be used to predict the impact of different distributions. In the paper, a concept is presented describing how process parameters and its distributions influence structure of intermediate products, which in turn affect battery performance. The former transition is realized through an agent-based process chain model approach while the latter uses an extended pseudo-2-dimensional battery model.

Original language	English
Pages (from-to)	346-351
Number of pages	6
Journal	Procedia CIRP
Volume	72
DOIs	https://doi.org/10.1016/j.procir.2018.03.056
Publication status	Published - 1 Jan 2018
Externally published	Yes
Event	51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018 - Stockholm, Sweden Duration: 16 May 2018 → 18 May 2018 Conference number: 51

Keywords

Manufacturing system
Simulation
Statistical process control

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.procir.2018.03.056Licence: CC BY-NC-ND

10.1016_j.procir.2018.03.056Final published version, 0.98 MBLicence: CC BY-NC-ND

Cite this

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title = "Simulating Process-Product Interdependencies in Battery Production Systems",

abstract = "Battery production requires a highly complex manufacturing process chain consisting of different process steps. Both product and process parameters deviate throughout the whole process chain. Shape and scale of those distributions heavily affect subsequent process steps and final battery quality. Multi-level Simulation can be used to predict the impact of different distributions. In the paper, a concept is presented describing how process parameters and its distributions influence structure of intermediate products, which in turn affect battery performance. The former transition is realized through an agent-based process chain model approach while the latter uses an extended pseudo-2-dimensional battery model.",

keywords = "Manufacturing system, Simulation, Statistical process control",

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doi = "10.1016/j.procir.2018.03.056",

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TY - JOUR

T1 - Simulating Process-Product Interdependencies in Battery Production Systems

AU - Thomitzek, Matthias

AU - Schmidt, Oke

AU - Röder, Fridolin

AU - Krewer, Ulrike

AU - Herrmann, Christoph

AU - Thiede, Sebastian

N1 - Conference code: 51

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Battery production requires a highly complex manufacturing process chain consisting of different process steps. Both product and process parameters deviate throughout the whole process chain. Shape and scale of those distributions heavily affect subsequent process steps and final battery quality. Multi-level Simulation can be used to predict the impact of different distributions. In the paper, a concept is presented describing how process parameters and its distributions influence structure of intermediate products, which in turn affect battery performance. The former transition is realized through an agent-based process chain model approach while the latter uses an extended pseudo-2-dimensional battery model.

AB - Battery production requires a highly complex manufacturing process chain consisting of different process steps. Both product and process parameters deviate throughout the whole process chain. Shape and scale of those distributions heavily affect subsequent process steps and final battery quality. Multi-level Simulation can be used to predict the impact of different distributions. In the paper, a concept is presented describing how process parameters and its distributions influence structure of intermediate products, which in turn affect battery performance. The former transition is realized through an agent-based process chain model approach while the latter uses an extended pseudo-2-dimensional battery model.

KW - Manufacturing system

KW - Simulation

KW - Statistical process control

UR - http://www.scopus.com/inward/record.url?scp=85049602150&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2018.03.056

DO - 10.1016/j.procir.2018.03.056

M3 - Conference article

AN - SCOPUS:85049602150

SN - 2212-8271

VL - 72

SP - 346

EP - 351

JO - Procedia CIRP

JF - Procedia CIRP

T2 - 51st CIRP Conference on Manufacturing Systems, CIRP CMS 2018

Y2 - 16 May 2018 through 18 May 2018

ER -

Simulating Process-Product Interdependencies in Battery Production Systems

Abstract

Keywords

UN SDGs

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